Plausibility of Databases: and the Relation to Imputation Methods - Couverture souple

Fritz, Heinrich; Filzmoser, Peter

 
9783639435788: Plausibility of Databases: and the Relation to Imputation Methods
Couverture souple
ISBN 10 : 3639435788 ISBN 13 : 9783639435788
Editeur : AV Akademikerverlag, 2012

Synopsis

Revision with unchanged content. The estimation of the plausibility of a set of observations basically depends on the main structure which stands behind these data. Observations which fit into this estimated structure seem more plausible, than observations with large distance to such structure estimates. For representing the structure of a data set, here principal components are used. Since single observations which do not follow the main structure of a data set (outliers) should not influence such estimations, robust methods are considered primarily in this context. The estimation of missing values is based on principal component analysis as well. Iteratively principal components are estimated, and observations are projected onto them until convergence of this process. In this context existing algorithms have been improved concerning the quality of imputation and runtime behavior. In particular this improvement focuses on the projection methods which are used to project observations containing missings onto principal components.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Revision with unchanged content. The estimation of the plausibility of a set of observations basically depends on the main structure which stands behind these data. Observations which fit into this estimated structure seem more plausible, than observations with large distance to such structure estimates. For representing the structure of a data set, here principal components are used. Since single observations which do not follow the main structure of a data set (outliers) should not influence such estimations, robust methods are considered primarily in this context. The estimation of missing values is based on principal component analysis as well. Iteratively principal components are estimated, and observations are projected onto them until convergence of this process. In this context existing algorithms have been improved concerning the quality of imputation and runtime behavior. In particular this improvement focuses on the projection methods which are used to project observations containing missings onto principal components.

Biographie de l'auteur

Heinrich Fritz: 2003-2007 Computer science studies at the Vienna University of Technology.Graduated 2006 in Data Engineeringand Statistics, 2007 in Business Engineering and Computer Science as well as Computer Science Management.Peter Filzmoser: studied Applied Mathematics at the ViennaUniversity of Technology, where he also wrote hisdoctoral thesis and habilitation. His research is in the field ofmultivariate and robust statistics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
AV Akademikerverlag
Date d'édition
2012
Langue
anglais
ISBN 10 
3639435788
ISBN 13 
9783639435788
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9783836459921: Plausibility of Databases and the Relation to Imputation Methods

Edition présentée

ISBN 10 :  3836459922 ISBN 13 :  9783836459921
Editeur : VDM Verlag Dr. Mueller E.K., 2008
Couverture souple